AIMC Topic: Hybridization, Genetic

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Inferring phylogenetic networks from multifurcating trees via cherry picking and machine learning.

Molecular phylogenetics and evolution Jul 17, 2024
The Hybridization problem asks to reconcile a set of conflicting phylogenetic trees into a single phylogenetic network with the smallest possible number of reticulation nodes. This problem is computationally hard and previous solutions are limited to...
Phylogeny Models, Genetic Hybridization, Genetic Machine Learning Algorithms
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Hybridization of the swarming and interior point algorithms to solve the Rabinovich-Fabrikant system.

Scientific reports Jul 6, 2023
In this study, a trustworthy swarming computing procedure is demonstrated for solving the nonlinear dynamics of the Rabinovich-Fabrikant system. The nonlinear system's dynamic depends upon the three differential equations. The computational stochasti...
Nucleic Acid Hybridization Algorithms Hybridization, Genetic Nonlinear Dynamics Neural Networks, Computer
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Developing random forest hybridization models for estimating the axial bearing capacity of pile.

PloS one Mar 21, 2022
Accurate determination of the axial load capacity of the pile is of utmost importance when designing the pile foundation. However, the methods of determining the axial load capacity of the pile in the field are often costly and time-consuming. Theref...
Algorithms Engineering Hybridization, Genetic Machine Learning Vietnam
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Deep learning predicts gene expression as an intermediate data modality to identify susceptibility patterns in Mycobacterium tuberculosis infected Diversity Outbred mice.

EBioMedicine May 14, 2021
BACKGROUND: Machine learning sustains successful application to many diagnostic and prognostic problems in computational histopathology. Yet, few efforts have been made to model gene expression from histopathology. This study proposes a methodology w...
Genetic Predisposition to Disease Tuberculosis Transcriptome Mice Hybridization, Genetic Female Animals Machine Learning
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Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechellia.

PLoS genetics Apr 23, 2018
Hybridization and gene flow between species appears to be common. Even though it is clear that hybridization is widespread across all surveyed taxonomic groups, the magnitude and consequences of introgression are still largely unknown. Thus it is cru...
Animals Models, Genetic Supervised Machine Learning Genetic Variation Evolution, Molecular Genetics, Population Software Genome, Insect Computer Simulation Drosophila simulans Haplotypes Drosophila Gene Flow Genetic Speciation Species Specificity Hybridization, Genetic
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Designing of an artificial neural network model to evaluate the association of three combined Y-specific microsatellite loci on the actual and predicted postthaw motility in crossbred bull semen.

Theriogenology Jan 21, 2015
The freezing of bull semen significantly hamper the motility of sperm which reduces the conception rate in dairy cattle. The prediction of postthaw motility (PTM) before freezing will be useful to take the decision on discarding or freezing of the ge...
Microsatellite Repeats Hybridization, Genetic Sperm Motility Fertility Y Chromosome Genotype Male Regression Analysis Neural Networks, Computer Cryopreservation Cattle Semen Preservation Animals
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Inferring Historical Introgression with Deep Learning.

Systematic biology Nov 1, 2023
Resolving phylogenetic relationships among taxa remains a challenge in the era of big data due to the presence of genetic admixture in a wide range of organisms. Rapidly developing sequencing technologies and statistical tests enable evolutionary rel...
Gene Flow Phylogeny Animals Deep Learning Butterflies Biological Evolution Hybridization, Genetic
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The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference.

Molecular biology and evolution Feb 1, 2019
Population-scale genomic data sets have given researchers incredible amounts of information from which to infer evolutionary histories. Concomitant with this flood of data, theoretical and methodological advances have sought to extract information fr...
Genetics, Population Recombination, Genetic Selection, Genetic Hybridization, Genetic Neural Networks, Computer Animals
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Locomotion control of hybrid cockroach robots.

Journal of the Royal Society, Interface Apr 6, 2015
Natural systems retain significant advantages over engineered systems in many aspects, including size and versatility. In this research, we develop a hybrid robotic system using American (Periplaneta americana) and discoid (Blaberus discoidalis) cock...
Hybridization, Genetic Cockroaches Robotics Locomotion Electric Stimulation Animals
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